معرفی
Prof Youguang Guo is a Professor of Electrical Machines and Drives at the School of Electrical and Data Engineering, University of Technology Sydney (UTS). He holds a PhD from UTS (2004) and has been affiliated with UTS since 2008, progressing from Research Fellow to his current role. His primary research areas include advanced electrical machine design, electromagnetic materials characterization, and motor drive optimization. He has authored over 600 refereed papers and led numerous funded projects, including grants on electric vehicle motors and high-efficiency drives.
Education: B.E. (1985), M.E. (1988) from Huazhong University of Science and Technology, and PhD (2004) from UTS. Prior roles include teaching and research at HUST (China) and UTS’s Centre for Electrical Machines and Power Electronics.
Research focuses on high-power-density motors, magnetic materials under rotational fields, and data-driven methods. Recent articles emphasize wind turbine power curve modeling, space target de-tumbling, and thermal analysis using transfer learning. His work integrates machine learning and optimization for energy systems.
Awards include the ASEMD2023 Distinctive Research Contribution Award. He supervises PhD/Master’s students in topics like flywheel energy storage and PMSM efficiency. Active in editorial roles for IEEE Transactions, Energies, and conference proceedings.
Collaborative projects include development of low-rare-earth motors and sovereign propulsion systems. His labs focus on electromagnetic design and advanced materials testing.
